The Athlete · Basketball (Women's) · Power Forward (PF)

The women's basketball power forward is one of the most physically and cognitively demanding positions in team sport. She must operate in the paint with sufficient size to hold ground against centers, step out to the mid-range or three-point line with enough mobility to create mismatches, and sustain that dual demand across 30 or more minutes of high-contact, high-impact play. This article maps the physical archetype, a full developmental training grid, position-specific performance benchmarks derived from WNBA and NCAA Division I data, and the medical science underlying the position's most consequential injury risks — with every prescription anchored to the Victevo 8-Core Testing framework.

§1 — The Athlete, Painted

Physical Archetype

The women's basketball power forward sits at the intersection of size and function. At the NCAA Division I level, recruiting data places the position's height range at 6'0"–6'3", while elite WNBA power forwards — Breanna Stewart, Napheesa Collier, Jonquel Jones — cluster between 6'2" and 6'4", consistent with the WNBA-wide forward average of approximately 6'2" as of the 2024 season. A peer-reviewed anthropometric study of female basketball players reported that forwards averaged a height of approximately 176–183 cm (5'9"–6'0") with body mass in the 69–75 kg range at the elite amateur level, increasing to the 80–90 kg range at the professional tier, with centers taller and heavier and power forwards occupying the second-highest position on both dimensions (Anthropometric profile of female basketball players, Univ. of Worcester). Body fat percentage for elite forwards typically falls in the 18–24% range. Wingspan frequently equals or exceeds height, providing the reach advantage critical for contesting shots and claiming defensive rebounds without surrendering inside position.

Nature selects for the power forward's proportions because her job is leverage. A longer forearm converts a modest height into a significantly extended defensive radius. A wider base — driven by hip structure — anchors the box-out posture that translates directly into rebounding production. DEXA scan data from 122 NCAA Division I female basketball players showed that power forwards (n = 27) carried significantly greater leg lean mass and bone mineral density than guards, reflecting the positional demand for ground-contact force production (Dexalytics / Raymond-Pope et al., International Journal of Sports Medicine, 2020).

Movement Archetype

The power forward's movement signature is a short-burst, high-force loop: sprint three to five steps to seal post position, absorb or deliver physical contact, explode vertically to rebound or finish, and immediately re-set defensively. GPS and load data from professional women's basketball confirm the position is characterized by repeated short-duration, high-intensity accelerations and decelerations rather than sustained aerobic running (Fuster, Capdevila, Caparros, Front. Psychol., 2025; DOI: 10.3389/fpsyg.2025.1523915).

Vertically, female basketball players at the elite level produce countermovement jump (CMJ) heights of approximately 28–35 cm, with professional-level players averaging around 30.0 ± 4.0 cm in CMJ testing (Nieto-Acevedo et al., PLoS One, 2026; DOI: 10.1371/journal.pone.0344022). Position-comparative data from male basketball research places forwards producing higher absolute peak force in the concentric phase of the CMJ than guards, a pattern consistent with the forward's greater body mass and ground-contact demands (Journal of Human Kinetics CMJ profiling study, 2025). The aerobic demand for interior players is position-differentiated: power forwards and centers carry a lower VO₂ max requirement than guards, with published ranges placing the position in the 44–55 mL/kg/min window for D1/professional levels — still requiring a strong oxidative base to sustain repeated possessions across 32-minute games (Topend Sports aerobic demand comparison).

The biomechanical signature of rebounding involves rapid eccentric loading at initial contact with the ground after a jump, followed by explosive concentric drive to secure the ball at its highest point. Box-out execution requires simultaneous hip extension, wide base, and arm-positioning — a multi-segment coordination task that demands both strength and spatial awareness.

Mental Archetype

The post-to-perimeter versatility demanded of the modern power forward creates one of the highest cognitive loads in women's basketball. She must simultaneously process the ball's flight trajectory, track her defensive assignment, read the weak side, decide whether to crash hard or spot up, and execute the physical action — all within the same fraction of a second. A 2025 study monitoring cognitive load across professional women's basketball microcycles documented significant variation in heart rate variability (HRV) — an objective cognitive load proxy — across training types, with the highest cognitive demands appearing in the days immediately preceding competition when specificity peaks (Fuster et al., Front. Psychol., 2025; DOI: 10.3389/fpsyg.2025.1523915). The power forward, operating near the basket where physical and tactical information converges from multiple opponents simultaneously, carries that cognitive burden in nearly every possession.

Emotional regulation under foul trouble is a position-specific psychological challenge. A player who has accumulated fouls must modulate aggression, recalibrate contact timing, and resist the reactive impulse to contest with maximum force — without allowing the self-monitoring to blunt her physicality. Research on basketball decision-making confirms that expert players maintain higher accuracy under time pressure than novices, but that accuracy declines for all players as environmental complexity and speed increase (Frontiers in Psychology, decision-making under time pressure, 2025). For the power forward, developing automatic movement patterns — so that execution does not consume finite cognitive bandwidth — is the training mechanism that preserves decision quality late in games.

§2 — The 4 Pillars × 5 Segments × 4 Seasons Grid

Pillar 1: Strength & Power

Segment	Off-Season	Pre-Season	In-Season	Post-Season
Youth (8–12)	Bodyweight squats, hip hinges, push/pull patterns; 2×/wk; focus on motor patterns	Add light resistance bands; introduce medicine ball tosses; 2×/wk	Maintain bodyweight strength circuits 2×/wk; no barbell loading	Active rest; swimming, gymnastics play; 1×/wk body-weight circuit
Middle School (13–14)	Introduce barbell goblet squat and dumbbell RDL; 2×/wk, 3×8	Trap-bar deadlift progressions, box jumps; 2×/wk; CMJ baseline test	1–2×/wk compound maintenance; reduce volume 30%; monitor fatigue	Deload 2 wks; movement quality re-screen; reintroduce at 50% volume
High School (15–18)	3×/wk, 70–80% 1RM back squat + Romanian deadlift + bench press; monthly CMJ check	Increase intensity to 80–85% 1RM, 3×5; add power clean or trap-bar jump shrug	2×/wk, 65–75% 1RM; lower-body priority; monitor soreness vs. game schedule	Strength testing week; address imbalances; 2–3 wk transition block
College (D3/D2/D1/NAIA/JUCO)	4×/wk periodized block: hypertrophy (weeks 1–4), strength (weeks 5–8), power (weeks 9–12); force plate CMJ monthly	3×/wk, triphasic loading; plyometric integration; 90% 1RM work sets for peak strength; ACL neuromuscular prep protocol	2×/wk, 70–80% 1RM, concurrent maintenance; post-game recovery session replaces Sunday lift	Full deload week 1; movement screen week 2; set off-season strength goals
Pro / Elite	4×/wk, auto-regulated intensity using HRV guidance; max effort lower-body sessions alternating with velocity-based training (VBT); quarterly force plate peak force benchmarking	3×/wk taper into camp; sport-specific plyometrics; IMTP peak force target ≥ 2,200 N	1–2×/wk, session timing dictated by schedule density; force plate readiness monitoring every game week	Team-directed recovery block; individual weakness audit; plan next training year

Pillar 2: Speed & Agility

Segment	Off-Season	Pre-Season	In-Season	Post-Season
Youth (8–12)	Tag games, lateral shuffle relays, reaction games; 2×/wk; no formal sprint timing	Add cone weaves, mirror drills; 2×/wk; emphasize stopping mechanics	Game-play is primary speed stimulus; 1×/wk footwork ladder	Rest; playground and recreational movement
Middle School (13–14)	5 m acceleration starts 3×/wk; T-drill introduction; lateral shuffle mechanics coaching	T-drill timed baseline; 3-cone L-drill; 10 m sprint timing introduced	Reactive agility drills post-practice 2×/wk; 5 m re-acceleration focus	2-wk deload; short shuttle refresher at end of block
High School (15–18)	10 m and 20 m sprint timing; 4×/wk; lane agility work; pro-agility shuttle baseline	Pro-agility shuttle target < 5.0 s; court sprint ¾-length target < 4.5 s; reactive cutting off coach cue	2×/wk court agility; sprint timing monthly	Agility deload; introduce change-of-direction motor re-education to address ACL risk patterns
College (D3/D2/D1/NAIA/JUCO)	GPS-tracked sprint work; ¾-court sprint target < 4.3 s; 5-10-5 shuttle; reactive agility device or partner mirror drills 3×/wk	Competition-specific COD patterns; first-step explosion off post-seal; 5 m split target < 1.05 s	Reduce volume; weekly reactive agility unit to maintain neuromuscular acuity	Full movement screen; COD asymmetry evaluation; address any ACL-risk valgus patterns
Pro / Elite	Athlete-specific sprint profiling using force-velocity curve; targeting horizontal power deficits; weekly reactive agility testing	Pre-camp speed testing; individual sprint threshold work; ACL prevention warm-up daily	Sprint maintenance at 85% volume; HRV-guided intensity on game-dense weeks	Individual sprint deficit audit; design next cycle's speed block

Pillar 3: Endurance & Conditioning

Segment	Off-Season	Pre-Season	In-Season	Post-Season
Youth (8–12)	Unstructured aerobic play 60+ min/day; no interval prescriptions	20 min of moderate continuous activity 3×/wk; end-of-practice court runs	Game play is conditioning stimulus; no additional aerobic sessions	Outdoor activity; swimming; no basketball-specific conditioning
Middle School (13–14)	3×/wk court runs + moderate bike; introduce 3-minute basketball intervals	4×/wk; 4×4 min court shuttle intervals; monitor resting heart rate weekly	2×/wk conditioning circuits post-practice; sub-30 s rest periods	1×/wk aerobic maintenance; active recovery swim or bike
High School (15–18)	4×/wk; Yo-Yo IR1 baseline; lane-shuttle intervals 8–12 reps × 30 s work / 15 s rest	Yo-Yo IR1 re-test; 3×/wk interval blocks + 1 tempo run; VO₂ max proxy target 44–50 mL/kg/min	2×/wk conditioning; practice counts toward total aerobic volume; HRV monitoring	2-wk deload; aerobic base maintenance at 50% volume; Yo-Yo re-test before next cycle
College (D3/D2/D1/NAIA/JUCO)	VO₂ max interval blocks; 30-15 Intermittent Fitness Test as seasonal benchmark; target D1 VO₂ 48–55 mL/kg/min	Pre-camp conditioning tests; 4×4 intervals on bike/court; aerobic base must precede high-intensity camp work	Team conditioning program; individual aerobic maintenance 1×/wk; monitor HRV for overreach	Full aerobic deload; introduce aerobic base block for next off-season
Pro / Elite	HRV-guided aerobic base building; individualized zone 2 volume by position; target VO₂ max 50–58 mL/kg/min for PF	Position-specific conditioning: repeated 3–4 step drive-and-stop intervals; team scrimmage volume ramping	Conditioning monitored daily via GPS and HRV; prevent aerobic detraining without over-accumulating load	Team-directed recovery; low-intensity aerobic sessions max 3×/wk

Pillar 4: Skill & Sport-IQ

Segment	Off-Season	Pre-Season	In-Season	Post-Season
Youth (8–12)	Post footwork fundamentals (drop step, up-and-under); catch-and-finish drills; 2×/wk with a coach	Add face-up catch-and-drive; 2-on-2 reads; introduce shot fake concept	Game repetitions primary learning vehicle; brief film review monthly	Pickup ball; fun; no structured skill work required
Middle School (13–14)	Drop step + jump hook + face-up triple-threat: 3×/wk; 30 min individual skill sessions	Mid-range shot off post catch; shot fake into drive; weak-hand finishing; 3×/wk	2×/wk post drills pre-practice; weekly 1-on-1 post work with coach	Review film for 2–3 skill gaps; set summer priorities
High School (15–18)	4×/wk: post moves, face-up game, high-low reads, DHO actions; shot off pin-down; introduce 3-point shot	Full offensive integration: PnR actions, post entry reads, DHO, drive-and-kick; 3×/wk; film + execution reps	Game film twice weekly; individual skill correction post-practice; 1×/wk post drill session	Full film review; identify 2 primary skill development targets for off-season
College (D3/D2/D1/NAIA/JUCO)	5×/wk skill sessions: advanced post combinations, ball-screen reads, three-level scoring (paint/mid/3PT); analytics-informed shot selection	Integration with team systems: offensive role definition, pin-down + cut actions, defensive assignment reads; daily video	Individual development hour 3×/wk; game prep film 2×/wk; weekly session with position coach	Extended individual skill work; 3×/wk; address specific gaps identified by season analytics
Pro / Elite	Individualized skill roadmap based on shot-quality analytics; countermove development; study opponents' tendencies in paint; 5–6×/wk	Full team system installation; shot and footwork rep volume high; 2-a-day skill/film in camp	Pre-game individual skill warm-up; weekly 1-on-1 film session with coach; in-game adjustment via halftime analytics	Full off-season review; redesign role based on team roster; address identified weaknesses

§3 — Position-Specific Numbers (3 Tiers)

The following table uses Victevo 8-Core Testing as the canonical benchmarking column. WNBA and NCAA D1 comparative reference values are drawn from peer-reviewed literature and publicly available governing-body data and are labeled accordingly. Cells without confirmed published averages for this specific position carry an editorial target label.

Metric	Average D1 Women's PF	Top 10% D1 Women's PF	Pro Baseline (WNBA PF)
Sprint: ¾ Court (s)	4.4–4.6	< 4.2	< 4.1
CMJ Height (cm)	24–28	> 30	28–35
Force Plate: IMTP Peak Force (N)	1,800–2,100	> 2,200	≥ 2,372 (pro avg; Nieto-Acevedo et al., 2026)
Reactive Agility / Lane Agility (s)	(Victevo editorial target — derived from WNBA position data)	(Victevo editorial target — derived from WNBA position data)	(Victevo editorial target — derived from WNBA position data)
Grip / Iso Strength	(Victevo editorial target — derived from D1 female athlete norms)	(Victevo editorial target — derived from D1 female athlete norms)	(Victevo editorial target — derived from D1 female athlete norms)
Aerobic Capacity: VO₂ max (mL/kg/min)	44–50	50–55	50–58
Sport-Skill Composite: Rebounding (RPG)	5–7	> 8	≥ 8.5 (Breanna Stewart: 8.5 RPG, 2024; StatsCrew WNBA 2024)
Recovery / HRV (RMSSD, ms)	(Victevo editorial target — derived from professional women's basketball HRV monitoring data)	(Victevo editorial target — derived from professional women's basketball HRV monitoring data)	Highest recorded values MD+2 (48 hrs post-game); (Fuster et al., 2025)
Height (cm)	183–190	190+	188–196
Body Mass (kg)	75–85	78–90	82–95
Wingspan-to-Height Ratio	≥ 1.00	≥ 1.02	≥ 1.02

Position-specific metrics:

Metric	Average D1 Women's PF	Top 10% D1 Women's PF	Pro Baseline (WNBA PF)
Offensive Rebounding %	8–12%	> 14%	≥ 14% (Angel Reese: 172 OREB / 2024 season; StatsCrew)
Post-up Efficiency (PPP)	(Victevo editorial target — derived from NCAA analytics benchmarks)	(Victevo editorial target — derived from NCAA analytics benchmarks)	≥ 0.95 PPP at elite level
3PT Attempt Rate (face-up versatility)	0–10% of FGA	10–25% of FGA	15–35% of FGA (position evolving toward stretch role)

§4 — Medical & Scientific Anchors

Anchor 1: ACL Injury Risk in Female Basketball Players — Biomechanical Mechanism

Ternell et al., Am J Sports Med, 2025 (PMID: 40189839; DOI: 10.1177/03635465251330007) conducted a systematic video analysis of 105 ACL injuries in professional female European basketball leagues across the 2018–2023 seasons, finding that the dominant injury mechanism was a multiplanar event combining a knee-dominant valgus pattern with indirect or noncontact forces — most commonly during offensive or defensive cuts (78% combined). Biomechanical analysis was completed on 33 cases: 64% demonstrated the classic knee-dominant valgus pattern, and 89% of injuries occurred within the first 20 minutes of effective playing time, suggesting that inadequately trained neuromuscular preparedness — not accumulated fatigue — is the primary driver.

For the power forward, this is a direct training directive. The combination of high jump frequency (forwards average 47–93 jumps per game in basketball), significant body mass, and frequent lateral cuts in the paint creates repeated high-load ACL-stress events. The training implication is mandatory: ACL prevention protocols anchored to landing mechanics, hip external rotation strength, and reactive neuromuscular patterning must be embedded in every training phase, not only pre-season.

A broader review of contributing factors — Saber, Bridger, Agrawal, J Orthop Sports Med, 2024 (PMID: 39513086; DOI: 10.26502/josm.511500163) — catalogues the anatomical, hormonal, and biomechanical contributors to female athletes' 2–8× higher ACL injury rate compared to males. Females carry a wider pelvis (increased Q angle), greater ligament laxity amplified by estrogen during the follicular and luteal phases, smaller intercondylar notch width, and a trained tendency to land with less knee flexion and greater quadriceps dominance. The training implication: power forward strength programming must prioritize posterior chain development — glute-ham raise, Nordic curl, hip thrust — to counterbalance the quadriceps-dominant loading patterns that elevate ACL strain.

Anchor 2: Knee and Lower Back Injury Burden in Female College Basketball

Nagano, Shimada, Sasaki, Shibata, Open Access J Sports Med, 2021 (PMID: 33953619; DOI: 10.2147/OAJSM.S300493) followed 54 female college basketball players across 135 days, collecting daily injury questionnaires with a 96.4% response rate. The three most frequently affected anatomical areas were the ankle (average daily prevalence 14.5%), lower back (14.4%), and knee (9.6%). Critically, the knee demonstrated the highest burden in terms of substantial problem prevalence (5.2%) and total problem-to-new-onset ratio (27.8 total reports per 24 new-onset injuries), indicating that knee conditions in this population are chronic and recurrent rather than single acute events. Lower back problems carried a comparable cumulative score, driven by the repeated spinal loading of boxing out, post play, and defensive rotation.

For the power forward, these findings translate into two non-negotiable training pillars: knee health maintenance must be continuous (not only reactive), and lumbar spine loading must be managed proactively throughout the season. In-season programming should include hip flexor mobility, thoracic rotation, and core anti-rotation work — protocols that protect the lumbar spine under the torsional demands of post play — alongside a monitored CMJ-based readiness marker to flag knee fatigue before it becomes a clinical complaint.

Anchor 3: WNBA Knee Injury Epidemiology — Position-Specific Context

Axelrod, Canastra, Lemme, Testa, Owens, Orthop J Sports Med, 2022 (DOI: 10.1177/23259671221120832) analyzed 99 WNBA players who sustained knee injuries across 21 seasons, finding that ACL tears were the most consequential injury (37 cases, 37% of total), with an average return-to-play time of 375 days and a return rate of 70%. Video analysis of 12 injuries confirmed 100% involved knee flexion in a valgus position, 83% were noncontact, and 90% of ACL injuries involved planting rather than landing mechanics. Power forwards accounted for 15% of overall knee injuries across all types — comparable to small forwards and centers — while guards sustained the highest proportion (53%) due to higher total exposure in cutting actions. The most common meniscal surgeries in the WNBA Combine database were performed on small forwards and power forwards (40% of all cases).

The training implication for the power forward is post-specific: the plant-and-finish move — one of the most foundational interior offensive actions — is the precise biomechanical event that generates the knee-valgus-under-load pattern documented in this WNBA injury database. Neuromuscular training targeting the deceleration phase of the plant step, combined with weekly force plate CMJ monitoring to detect asymmetries, represents the evidence-based prevention pathway.

Anchor 4: NCAA Women's Basketball Injury Surveillance — D1 Population Baseline

Lempke et al., J Athl Train, 2021 (PMID: 34280270; DOI: 10.4085/1062-6050-466-20) — part of the NCAA Injury Surveillance Program — documented 2,980 injuries across 424,916 athlete exposures in NCAA women's basketball from 2014–2019. ACL tears comprised 2.5% of all injuries and were 67.6% noncontact in mechanism, corroborating the WNBA data above. Forwards (including power forwards) accounted for 27.4% of all injuries, second to guards (51.4%), meaning the per-player risk for forwards — who comprise a smaller roster share — is proportionally significant. The preseason injury rate was 3.12× the postseason rate, confirming that the highest-risk window is the early loading phase when physical preparation intersects with sport-specific intensity before neuromuscular adaptation has caught up. This is the exact window when the Victevo 8-Core baseline should be established and ACL prevention protocols should be running at full intensity.

Anchor 5: Victevo 8-Core Data Anchor — CMJ and IMTP in Professional Women's Basketball

Professional-level benchmarking data from Nieto-Acevedo et al., PLoS One, 2026 (DOI: 10.1371/journal.pone.0344022) — testing 22 players in the first Spanish women's basketball league — documents a mean CMJ height of 30.0 ± 4.0 cm and IMTP peak force of 2,372.1 ± 296.1 N. These values are directly mappable to Victevo 8-Core Force Plate and CMJ testing protocols and establish the pro-baseline targets listed in §3. Critically, the study found no statistically significant difference in these metrics between starters and non-starters, indicating that at elite levels, playing time allocation is governed by technical and tactical performance rather than raw power output — which means reaching the pro-baseline on force plate and CMJ is a necessary but not sufficient condition for competitive success. The player who matches the benchmark and then applies it within sound decision-making is the one who earns minutes.

Wave 6 Cross-Link — ACL Injury (Biomechanics and Prevention): The ACL risk factors documented in §4 — knee-dominant valgus, quadriceps dominance, hormonal ligament laxity, and plant-step mechanics — are addressed in depth in the Wave 6 ACL Injury Prevention article in this library. Power forwards should treat that article as a required companion to this one.

§5 — The Gap, Measured

The power forward who improves only by practicing more basketball will hit a ceiling. The ones who separate themselves do so by identifying the exact delta between where they are and where the position requires them to be — and then building a structured plan to close it.

Measure. Every serious women's basketball power forward should establish baselines on the full Victevo 8-Core: CMJ height and peak force from a dual force plate, ¾-court sprint time, reactive agility via 5-10-5 shuttle or equivalent, isometric mid-thigh pull (IMTP), VO₂ max proxy via Yo-Yo IR1 or 30-15 Intermittent Fitness Test, grip strength, and a sport-skill composite (rebounding rate, post efficiency, shot-quality metrics). HRV should be tracked daily during the season.

Compare. Stack the results against the three tiers in §3: average D1, top 10% D1, and WNBA pro baseline. The comparison is not against guards or small forwards — it is against the power forward normative window derived from published position-specific data.

Identify the gap. Most emerging power forwards will find one of three dominant gaps: (1) insufficient posterior chain strength reflected in low IMTP values and knee-valgus landing mechanics; (2) limited aerobic base that causes late-game decision-making to degrade before physical fatigue; or (3) a face-up offensive game that does not stretch defenses, limiting the interior space the position needs to function.

Build the plan. Map the gap to the specific pillar in §2. Posterior chain deficiency maps to Pillar 1 (Strength & Power), with a Nordic curl, hip thrust, and RDL prescription. Aerobic depletion maps to Pillar 3 (Endurance & Conditioning), with a Yo-Yo or 30-15 IFT-guided interval program. Offensive range limitation maps to Pillar 4 (Skill & Sport-IQ), with face-up and mid-range shot development sessions.

Use real equipment and testing. The Victevo 8-Core is not a checklist — it is a repeating measurement protocol. Force plate CMJ removes the subjectivity of Vertec jump testing. IMTP captures peak isometric strength independent of technique variability. HRV wearables provide daily recovery data that informs training load decisions, not just weekly perceived effort.

Re-measure and prove. Baseline the 8-Core in the off-season, re-test at pre-season camp entry, and re-test again at mid-season. A power forward who closes a 4 cm CMJ gap and moves her IMTP from 1,900 N to 2,200 N has demonstrably improved her rebounding and finishing potential — and has the data to prove it to coaches and scouts.

See the Victevo Method → | See the 8-Core →

Sources

Ternell KH, Tosarelli F, Buckthorpe M, Samuelsson K, Hamrin Senorski E, Della Villa F. A Systematic Video Analysis of Anterior Cruciate Ligament Injuries in Professional Female Basketball Players. Am J Sports Med. 2025. PMID: 40189839. DOI: 10.1177/03635465251330007. https://pubmed.ncbi.nlm.nih.gov/40189839/
Saber B, Bridger D, Agrawal DK. A Critical Analysis of the Factors Contributing to Anterior Cruciate Ligament Injuries in Female Athletes. J Orthop Sports Med. 2024. PMID: 39513086. DOI: 10.26502/josm.511500163. https://pmc.ncbi.nlm.nih.gov/articles/PMC11542867/
Nagano Y, Shimada Y, Sasaki N, Shibata M. Prevalence and Burden of Physical Problems in Female College Basketball Athletes: A 135-Day Prospective Cohort Study. Open Access J Sports Med. 2021. PMID: 33953619. DOI: 10.2147/OAJSM.S300493. https://pmc.ncbi.nlm.nih.gov/articles/PMC8092614/
Axelrod K, Canastra N, Lemme NJ, Testa EJ, Owens BD. Epidemiology With Video Analysis of Knee Injuries in the Women's National Basketball Association. Orthop J Sports Med. 2022. DOI: 10.1177/23259671221120832. https://pmc.ncbi.nlm.nih.gov/articles/PMC9483955/
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